Suphannee Sivakorn

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Suphannee Sivakorn trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Greg Mori
  2. Raymond H. Chan
  3. Joeri de Ruiter
  4. Alex Krizhevsky
  5. Jitendra Malik
  6. Geoffrey E. Hinton
  7. Ilya Sutskever
  8. George Argyros
  9. Nitish Srivastava
  10. Christian Szegedy

Papers from Suphannee Sivakorn's perspective

Ordered by how strongly the researchers Suphannee Sivakorn trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers